Fidelity Leveraged Pany Fund Market Value
| FLVCX Fund | USD 44.44 0.12 0.27% |
| Symbol | Fidelity |
Fidelity Leveraged 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Fidelity Leveraged's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Fidelity Leveraged.
| 05/10/2025 |
| 08/08/2025 |
If you would invest 0.00 in Fidelity Leveraged on May 10, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Leveraged Pany or generate 0.0% return on investment in Fidelity Leveraged over 90 days. Fidelity Leveraged is related to or competes with Fidelity Value, Fidelity Emerging, Fidelity Canada, and Fidelity International. It invests primarily in common stocks of leveraged companies More
Fidelity Leveraged Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Fidelity Leveraged's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Fidelity Leveraged Pany upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.817 | |||
| Information Ratio | 0.1341 | |||
| Maximum Drawdown | 4.58 | |||
| Value At Risk | (0.90) | |||
| Potential Upside | 1.95 |
Fidelity Leveraged Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Leveraged's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Leveraged's standard deviation. In reality, there are many statistical measures that can use Fidelity Leveraged historical prices to predict the future Fidelity Leveraged's volatility.| Risk Adjusted Performance | 0.2062 | |||
| Jensen Alpha | 0.1543 | |||
| Total Risk Alpha | 0.1027 | |||
| Sortino Ratio | 0.1568 | |||
| Treynor Ratio | 0.3138 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Leveraged's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Fidelity Leveraged Pany Backtested Returns
Fidelity Leveraged appears to be very steady, given 3 months investment horizon. Fidelity Leveraged Pany secures Sharpe Ratio (or Efficiency) of 0.26, which denotes the fund had a 0.26 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Leveraged Pany, which you can use to evaluate the volatility of the entity. Please utilize Fidelity Leveraged's Mean Deviation of 0.7282, coefficient of variation of 381.33, and Downside Deviation of 0.817 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.77, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Leveraged's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Leveraged is expected to be smaller as well.
Auto-correlation | 0.69 |
Good predictability
Fidelity Leveraged Pany has good predictability. Overlapping area represents the amount of predictability between Fidelity Leveraged time series from 10th of May 2025 to 24th of June 2025 and 24th of June 2025 to 8th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fidelity Leveraged Pany price movement. The serial correlation of 0.69 indicates that around 69.0% of current Fidelity Leveraged price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.89 |
Fidelity Leveraged Pany lagged returns against current returns
Autocorrelation, which is Fidelity Leveraged mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Fidelity Leveraged's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Leveraged returns to help us make a trade decision. For example, suppose you find that Fidelity Leveraged has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Fidelity Leveraged regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Fidelity Leveraged mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Leveraged mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Leveraged mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Leveraged Lagged Returns
When evaluating Fidelity Leveraged's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Leveraged mutual fund have on its future price. Fidelity Leveraged autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Fidelity Leveraged autocorrelation shows the relationship between Fidelity Leveraged mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Leveraged Pany.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Fidelity Mutual Fund
Fidelity Leveraged financial ratios help investors to determine whether Fidelity Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fidelity with respect to the benefits of owning Fidelity Leveraged security.
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio |